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Features

Categorizes the many shadow algorithms into proper groups, helping readers choose the most relevant group of algorithms for their needs

Presents shadow algorithms in the context of the larger graphics systems and from a practitioner’s perspective

Includes shadow algorithms not just for polygons but also for all known geometry types, rendering features, and special applications

Lists limitations for each algorithm group as well as specific algorithms, offering readers potential research problems to solve

Summary

Shadow Algorithms Data Miner provides a high-level understanding of the complete set of shadow concepts and algorithms, addressing their usefulness from a larger graphics system perspective. It discusses the applicability and limitations of all the direct illumination approaches for shadow generation.

With an emphasis on shadow fundamentals, the book gives an organized picture of the motivations, complexities, and categorized algorithms available to generate digital shadows. It helps readers select the most relevant algorithms for their needs by placing the shadow algorithms in real-world contexts and looking at them from a larger graphics system perspective. As a result, readers know where to start for their application needs, which algorithms to begin considering, and which papers and supplemental material should be consulted for further details.

Table of Contents

Preliminaries of Shadows What’s Covered in This Chapter Basic ConceptsCategories of Shadow Algorithms: Basic Ideas and PropertiesSelf-ShadowingConsiderations for Choosing an Algorithm